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The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar

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  • Christine M. Moser
  • Christopher B. Barrett

Abstract

This article explores the dynamics of smallholder technology adoption, with particular reference to a high‐yielding, low external input rice production method in Madagascar. We present a simple model of technology adoption by farm households in an environment of incomplete financial and land markets. We then use a probit model and symmetrically censored least squares estimation of a dynamic tobit model to analyze the decisions to adopt, expand, and disadopt the method. We find that seasonal liquidity constraints discourage adoption by poorer farmers. Learning effects—both from extension agents and from other farmers—exert significant influence over adoption decisions.

Suggested Citation

  • Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
  • Handle: RePEc:bla:agecon:v:35:y:2006:i:3:p:373-388
    DOI: 10.1111/j.1574-0862.2006.00169.x
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    1. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    2. Powell, James L, 1986. "Symmetrically Trimmed Least Squares Estimation for Tobit Models," Econometrica, Econometric Society, vol. 54(6), pages 1435-1460, November.
    3. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    4. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    5. Lee, David R. & Ruben, Ruerd, 2000. "Putting the "Farmer First": Returns to Labor and Sustainability in Agroecological Analysis," Working Papers 179532, Cornell University, Department of Applied Economics and Management.
    6. Neill, Sean P & Lee, David R, 2001. "Explaining the Adoption and Disadoption of Sustainable Agriculture: The Case of Cover Crops in Northern Honduras," Economic Development and Cultural Change, University of Chicago Press, vol. 49(4), pages 793-820, July.
    7. Reardon, Thomas, 1997. "Using evidence of household income diversification to inform study of the rural nonfarm labor market in Africa," World Development, Elsevier, vol. 25(5), pages 735-747, May.
    8. Frisvold, George B., 1994. "Does supervision matter? Some hypothesis tests using Indian farm-level data," Journal of Development Economics, Elsevier, vol. 43(2), pages 217-238, April.
    9. George A. Akerlof, 1980. "A Theory of Social Custom, of which Unemployment may be One Consequence," The Quarterly Journal of Economics, Oxford University Press, vol. 94(4), pages 749-775.
    10. Christopher B. Barrett & Paul A. Dorosh, 1996. "Farmers' Welfare and Changing Food Prices: Nonparametric Evidence from Rice in Madagascar," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 656-669.
    11. Kevane, Michael & Wydick, Bruce, 2001. "Social Norms and the Time Allocation of Women's Labor in Burkina Faso," Review of Development Economics, Wiley Blackwell, vol. 5(1), pages 119-129, February.
    12. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    13. Stoop, Willem A. & Uphoff, Norman & Kassam, Amir, 2002. "A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers," Agricultural Systems, Elsevier, vol. 71(3), pages 249-274, March.
    14. Lisa A. Cameron, 1999. "The Importance of Learning in the Adoption of High-Yielding Variety Seeds," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 83-94.
    15. Moser, Christine M. & Barrett, Christopher B., 2003. "The disappointing adoption dynamics of a yield-increasing, low external-input technology: the case of SRI in Madagascar," Agricultural Systems, Elsevier, vol. 76(3), pages 1085-1100, June.
    16. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
    17. Kreps, David M, 1997. "Intrinsic Motivation and Extrinsic Incentives," American Economic Review, American Economic Association, vol. 87(2), pages 359-364, May.
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    More about this item

    JEL classification:

    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

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